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A Concept for Co-existence of Heterogeneous Recommender Systems Based on Blackboard Architecture

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Book cover Distributed Computing and Internet Technology (ICDCIT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8956))

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Abstract

This paper introduces the concept of software coordination, collaboration, moderation and visualization in the context of Recommender System (RS). The proposed concept assist to coordinates to execute multiple RSs and collaborates their respective outputs. It also moderates the top-n recommendation list generated by RSs. The multiple RSs can be heterogeneous in terms of their attributes, such as data mining algorithms & prediction techniques used for recommendation. These RSs may be developed by independent experts. The concept employs the notion of blackboard architecture for dealing with multiple RSs. Optimal results are expected to be achieved by feed-forward and feed-backward mechanism.

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References

  1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans.+ Knowl. Data Eng. 17(6), 734–749 (2005)

    Article  Google Scholar 

  2. Asanov, D.: Algorithms and Methods in Recommender Systems. Berlin Institute of Technology, Berlin (2011)

    Google Scholar 

  3. Bass, L., Clements, P., Kazman, R. (eds.): Software Architecture in Practice. SEI Series (2003)

    Google Scholar 

  4. Berkovsky, S., Kuflik, T., Ricci, F.: Cross-domain mediation in collaborative filtering. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 355–359. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  5. Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.): Adaptive Web 2007. LNCS, vol. 4321. Springer, Heidelberg (2007)

    Google Scholar 

  6. Burke, R.D., Felfernig, A., Goker, M.H.: Recommender systems: An overview. AI Magazine 32(3), 13–18 (2011)

    Google Scholar 

  7. Carmel, D., Zwerdling, N., Guy, I., Ofek-Koifman, S., Har’El, N., Ronen, I., Uziel, E., Yogev, S., Chernov, S.: Personalized social search based on the user’s social network. In: CIKM, pp. 1227–1236 (2009)

    Google Scholar 

  8. Claypool, M., Le, P., Waseda, M., Brown, D.: Implicit interest indicators. In: IUI, pp. 33–40 (2001)

    Google Scholar 

  9. Elgohary, A., Nomir, H., Sabek, I., Samir, M., Badawy, M., Yousri, N.A.: Wiki-rec: A semantic-based recommendation system using wikipedia as an ontology. In: ISDA, pp. 1465–1470 (2010)

    Google Scholar 

  10. Hayes-Roth, B.: A blackboard architecture for control. Artif. Intell. 26(3), 251–321 (1985)

    Article  Google Scholar 

  11. Kanawati, R., Karoui, H.: A p2p collaborative bibliography recommender system. In: ICIW, pp. 90–96 (2009)

    Google Scholar 

  12. Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C.: Explaining the user experience of recommender systems. User Model. User-Adapt. Interact. 22(4-5), 441–504 (2012)

    Article  Google Scholar 

  13. Mordacchini, M., Baraglia, R., Dazzi, P., Ricci, L.: A p2p recommender system based on gossip overlays (prego). In: CIT, pp. 83–90 (2010)

    Google Scholar 

  14. Park, D.H., Kim II., H.K., Choi, Y., Kim, J.K.: A literature review and classification of recommender systems research. Expert Syst. Appl. 39(11), 10059–10072 (2012)

    Article  Google Scholar 

  15. Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.): Recommender Systems Handbook. Springer (2011)

    Google Scholar 

  16. Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: WWW, pp. 285–295 (2001)

    Google Scholar 

  17. Sinha, R.R., Swearingen, K.: Comparing recommendations made by online systems and friends. In: DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries (2001)

    Google Scholar 

  18. van Setten, M., Pokraev, S., Koolwaaij, J.: Context-aware recommendations in the mobile tourist application COMPASS. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 235–244. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  19. Woerndl, W., Schlichter, J.: Introducing context into recommender systems, pp. 138–140. AAAI (2007)

    Google Scholar 

  20. Yang, C.-Z., Chen, I.-X., Wu, P.-J.: Cross-lingual news group recommendation using cluster-based cross-training. IJCLCLP 13(1) (2008)

    Google Scholar 

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Gupta, R., Singh, A.K. (2015). A Concept for Co-existence of Heterogeneous Recommender Systems Based on Blackboard Architecture. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_44

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  • DOI: https://doi.org/10.1007/978-3-319-14977-6_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14976-9

  • Online ISBN: 978-3-319-14977-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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